{"id":1022,"date":"2021-03-08T14:55:54","date_gmt":"2021-03-08T14:55:54","guid":{"rendered":"http:\/\/www.igfasouza.com\/blog\/?p=1022"},"modified":"2021-04-26T14:35:09","modified_gmt":"2021-04-26T13:35:09","slug":"connected-vehicles-self-driving-cars-with-kafka","status":"publish","type":"post","link":"http:\/\/www.igfasouza.com\/blog\/connected-vehicles-self-driving-cars-with-kafka\/","title":{"rendered":"Connected vehicles & Self-driving cars with Kafka"},"content":{"rendered":"

\"\"<\/p>\n

How\u2019s the form?<\/b>
\n2021\/03\/08<\/small><\/p>\n

The term connected vehicles refer to applications, services, and technologies that connect a vehicle to its surroundings. A connected vehicle includes the different communication devices (embedded or portable) present in the vehicle, that enable in-car connectivity with other devices present in the vehicle and\/or enable connection of the vehicle to external devices, networks, applications, and services.<\/p>\n

Self-driving cars are vehicles capable of sensing their environment and operating without human involvement.<\/p>\n

\"\"<\/p>\n

So today I want to show a simple demo where I can stream car data in real-time using Kafka. Because I don\u2019t have a real autonomous car and came with the idea to use Anki Car or Anki Overdrive.<\/p>\n

Anki Overdrive is an intelligent battle racing system that lets you explore the power of artificial intelligence (AI). You can see a nice overview, all the new features explained<\/a>.<\/p>\n

All naming rights for Anki, Anki Drive and Anki Overdrive are property of Anki.<\/p>\n

With the standard Anki Overdrive Kit, you get two cars, some road pieces to construct simple road maps and a charging platform for the cars. It is all you need to start playing around with.
\nCheck the driver-sdk<\/a>.<\/p>\n

Using a Bluetooth Low Energy (BLE) API you can connect and disconnect from Anki, change some settings and of course you can get some real-time information.<\/p>\n

I found this anki-drive-python-sdk<\/a> that uses Python and node to get the real-time data using BLE<\/p>\n

\"\"<\/p>\n

Here is the info that I can get.<\/p>\n

\"\"<\/p>\n

JSON<\/b><\/p>\n

1
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{<\/span>'location'<\/span>:<\/span> 17<\/span>, 'piece'<\/span>:<\/span> 36<\/span>, 'offset'<\/span>:<\/span> 67.5<\/span>, 'speed'<\/span>:<\/span> 390<\/span>, 'self_speed'<\/span>:<\/span> 400<\/span>, 'clockwise'<\/span>:<\/span> 7<\/span>, 'notification_time'<\/span>:<\/span> datetime.datetime<\/span>(<\/span>2018<\/span>, 8<\/span>, 25<\/span>, 21<\/span>, 9<\/span>, 33<\/span>, 359248<\/span>)<\/span>, 'is_clockwise'<\/span>:<\/span> False<\/span>}<\/span><\/div><\/td><\/tr><\/tbody><\/table><\/div>\n
1
<\/div><\/td>
 <\/div><\/td><\/tr><\/tbody><\/table><\/div>\n
1
<\/div><\/td>
{<\/span>'location'<\/span>:<\/span> 23<\/span>, 'piece'<\/span>:<\/span> 57<\/span>, 'offset'<\/span>:<\/span> 67.5<\/span>, 'speed'<\/span>:<\/span> 422<\/span>, 'self_speed'<\/span>:<\/span> 400<\/span>, 'clockwise'<\/span>:<\/span> 71<\/span>, 'notification_time'<\/span>:<\/span> datetime.datetime<\/span>(<\/span>2018<\/span>, 8<\/span>, 25<\/span>, 21<\/span>, 9<\/span>, 32<\/span>, 229689<\/span>)<\/span>, 'is_clockwise'<\/span>:<\/span> True<\/span>}<\/span><\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

Piece uniquely identify the type of road piece (curve, start, stop, intersection, straight), speed is the speed recorded by the vehicle, self_speed is the \u201ctheoretical\u201d speed as set by our command, offset identifies the \u201clane\u201d (see a visual explanation below), and the location is an incremental integer (see a visual explanation below).<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

Idea<\/h2>\n

A simple Raspberry PI demo where I can get the Anki Car data in real-time and send it to Kafka. I can explore the data after with some graphics or some data analyses.<\/p>\n